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MA2215: Fields, rings, and modules
MA2215: Fields, rings, and modules

5-5 Dividing Polynomials
5-5 Dividing Polynomials

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Public-Key Cryptosystems Based on Hard Problems

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... algorightm, parallel computer model and specific set of inputs. Mostly the size of the input is a function of time complexity of the algorithm. The generic notation for describing the time-complexity of any algorithm is discussed in the subsequent sections. ...
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Arithmetic Circuits and Identity Testing
Arithmetic Circuits and Identity Testing

... As for PIT, the problem has drawn significant attention due to its role in various fields of theoretical computer science. Besides being a natural problem in algebraic computation, identity testing has found applications in various fundamental results like Shamir’s IP = PSPACE [Sha90], the PCP Theor ...
Sec 9.6 Page 9.6 Factor x2 + bx + c and ax² + bx + c WARM
Sec 9.6 Page 9.6 Factor x2 + bx + c and ax² + bx + c WARM

On separating a fixed point from zero by invariants
On separating a fixed point from zero by invariants

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Numerical methods for Vandermonde systems with particular points
Numerical methods for Vandermonde systems with particular points

MATH 125 FALL 2010 1. Compute the limits a. lim 2x + 5 3x − 4 = lim
MATH 125 FALL 2010 1. Compute the limits a. lim 2x + 5 3x − 4 = lim

Polynomial and Rational Functions
Polynomial and Rational Functions

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Mathway Packet

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FDTD – Example (1)

3. a. FindM(A)ifA=Inun b. M(lOO)= 10g(100) = log(102) =2 c. M(lOO
3. a. FindM(A)ifA=Inun b. M(lOO)= 10g(100) = log(102) =2 c. M(lOO

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+1 or - MathUnit

Non-Commutative Arithmetic Circuits with Division
Non-Commutative Arithmetic Circuits with Division

FFT - Personal Web Pages
FFT - Personal Web Pages

... Given N-bit integers I and J, compute IJ. Assume: we can multiply words of O(log N) bits in constant time. Setup: Find a prime p=cn+1 that can be represented in one word, and set m=(log p)/3, so that we can view I and J as n-length vectors of m-bit words. Finding a primitive root of unity. ...
Non-Commutative Arithmetic Circuits with Division
Non-Commutative Arithmetic Circuits with Division

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Document

FFT - Department of Computer Science
FFT - Department of Computer Science

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Chapter 1

< 1 ... 109 110 111 112 113 114 115 116 117 ... 231 >

Factorization of polynomials over finite fields

In mathematics and computer algebra the factorization of a polynomial consists of decomposing it into a product of irreducible factors. This decomposition is theoretically possible and is unique for polynomials with coefficients in any field, but rather strong restrictions on the field of the coefficients are needed to allow the computation of the factorization by means of an algorithm. In practice, algorithms have been designed only for polynomials with coefficients in a finite field, in the field of rationals or in a finitely generated field extension of one of them.The case of the factorization of univariate polynomials over a finite field, which is the subject of this article, is especially important, because all the algorithms (including the case of multivariate polynomials over the rational numbers), which are sufficiently efficient to be implemented, reduce the problem to this case (see Polynomial factorization). It is also interesting for various applications of finite fields, such as coding theory (cyclic redundancy codes and BCH codes), cryptography (public key cryptography by the means of elliptic curves), and computational number theory.As the reduction of the factorization of multivariate polynomials to that of univariate polynomials does not have any specificity in the case of coefficients in a finite field, only polynomials with one variable are considered in this article.
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